mukeshmithrakumar / scientific
TensorFlow scientific is a library for scientific computing
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for scientific
- Libraries for Scientific Computing☆10Updated 5 years ago
- Numerical computing labs☆10Updated 9 years ago
- Conditional trees☆12Updated 11 years ago
- Credici: Credal Inference for Causal Inference☆16Updated 3 weeks ago
- Implementation of Mapper Algorithm☆14Updated 7 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 4 years ago
- A utility tool to automate certain tasks with Jupyter notebooks.☆9Updated 8 months ago
- A collection of topological data analysis links, frameworks, libraries and software. Inspired by awesome projects line.☆18Updated 3 months ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- Examples of more involved applications using Geomstats☆32Updated 3 years ago
- Python library for declarative, constrained, structured-output prediction.☆21Updated last year
- Getting Python Performance with Intel(R) Distribution for Python☆13Updated last year
- A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…☆13Updated 3 months ago
- PDF and notebooks of GUDHI presentation @ NIPS 2017☆14Updated 6 years ago
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- The Path of the PyData Ninja☆16Updated 9 years ago
- Library of composable generative population models which serve as the modeling and inference backend of BayesDB.☆25Updated 4 months ago
- An open access book on scientific visualization using python and matplotlib☆20Updated 2 years ago
- Symbolic computation using SymPy and various applications☆20Updated 6 years ago
- Numba GPU tutorial notebooks for PyData Amsterdam 2019☆21Updated 3 months ago
- Course taught at the University of Bordeaux in the academic year 2017 for PhD students.☆16Updated 7 years ago
- The Mondrian kernel is a random feature approximation to the Laplace kernel allowing fast kernel width selection.☆12Updated 8 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆40Updated 4 years ago
- Fast Factorization Machines☆9Updated 6 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 2 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- Datasets for the TensorHouse project☆17Updated 9 months ago
- Custom filtration constructors for Python☆22Updated 2 years ago
- Turning Python into a probabilistic programming language☆19Updated 10 years ago
- Automatic Differentiation via Contour Integration☆52Updated last year